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Comparison of data mining algorithms: Prediction for insurance companies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU114710" target="_blank" >RIV/00216305:26510/15:PU114710 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of data mining algorithms: Prediction for insurance companies

  • Original language description

    The case study discusses using of Business Intelligence tools, specifically the MS SQL Server 2012 Data Mining. The case study describes and compares using of various algorithms and also is focused on their using in insurance companies. The paper thus aims at comparing different algorithms on selected types of tasks to achieve more efficient use of Data Mining which ultimately allows gaining a competitive advantage, higher revenues or reducing risks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH

  • ISBN

    978-0-9860419-4-5

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    „ 1782“-„ 1791“

  • Publisher name

    IBIMA

  • Place of publication

    Amsterdam

  • Event location

    Amsterdam

  • Event date

    May 7, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000360508700174